DOI QR코드

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Active interface debonding detection of a Concrete Filled Tube (CFT) column by modal parameters and Continuous Wavelet Transform (CWT) technique

  • 투고 : 2020.08.06
  • 심사 : 2020.12.03
  • 발행 : 2021.03.25

초록

In recent years, damage detection methods have been significantly increased in civil and mechanical structures. One of the most widely used and relatively new methods of signal processing is the method based on wavelet transform; with the help of this powerful tool, the damage in the structures can be detected in the early stages of damage formation, in order to prevent a larger damage event. In this paper, we have investigated the debonding damage of active surfaces in Concrete-Filled Tube (CFT) columns, which greatly reduces the effect of enclosure on concrete and decreases the bearing capacity of these tubes with the help of wavelet transformation (Discrete Wavelet Transform and Continuous Wavelet Transform). The debonding damage of the active surfaces was evaluated using wavelet types, and the occurrence and location of the damage were detected based on variations in frequency and mode shapes. The above studies have been done for the first six modes of the CFT column. The results of the analyzes indicate that the wavelet transform tool is very capable of detecting the occurrence and location of the damage and is able to detect high-level debonding damage in one side of the column that creates curvature and slight jump in the shape of the mode.

키워드

과제정보

The authors would like to thank ITRAC CO. for test of specimens and Mr. Bagher Sadeghi (MSc. graduate of structural engineering, Semnan University, Iran) for his contribution in preparing the numerical example of this paper.

참고문헌

  1. Betti, M., Facchini, L. and Biagini, P. (2015), "Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms", Meccanica, 50(3), 875-886. https://doi.org/10.1007/s11012-014-0085-9
  2. Cai, J. and He, Z.Q. (2006), "Axial load behavior of square CFT stub column with binding bars", J. Constr. Steel Res., 62(5), 472-483. https://doi.org/10.1016/j.jcsr.2005.09.010
  3. Chui, C.K. (1992), An introduction to wavelets, San Diego: Academic Press.
  4. Daubechies, I. (1992), "Ten lectures on wavelets", Society for industrial and applied mathematics.
  5. Debnath, L. and Shah, F.A. (2002), "Wavelet transforms and their applications", Boston: Birkhauser, pp. 12-14.
  6. Deng, Z., Hu, Q., Zeng, J., Xiang, P. and Xu, C. (2018), "Structural performance of steel-truss-reinforced composite joints under cyclic loading", Proceedings of the Institution of Civil Engineers-Structures and Buildings, 171(2), 130-148. https://doi.org/10.1680/jstbu.16.00188
  7. Feng, M.Q. and Bahng, E.Y. (1999), "Damage assessment of jacketed RC columns using vibration tests", J. Struct. Eng., 125(3), 265-271. https://doi.org/10.1061/(ASCE)0733-9445(1999)125:3(265)
  8. Gao, R.X. and Yan, R. (2010), Wavelets: Theory and applications for manufacturing, Springer Science & Business Media.
  9. He, W.Y. and Zhu, S. (2015), "Adaptive-scale damage detection strategy for plate structures based on wavelet finite element model", Struct. Eng. Mech., Int. J., 54(2), 239-256. https://doi.org/10.12989/sem.2015.54.2.239
  10. Huynh, T.C., Lee, K.S. and Kim, J.T. (2015), "Local dynamic characteristics of PZT impedance interface on tendon anchorage under prestress force variation", Smart Struct. Syst., Int. J., 15(2), 375-393. https://doi.org/10.12989/sss.2015.15.2.375
  11. Kim, J.T., Sim, S.H., Cho, S., Yun, C.B. and Min, J.Y. (2016), "Recent R&D activities on structural health monitoring in Korea", Struct. Monit. Maint., Int. J., 3(1), 91-114. https://doi.org/10.12989/smm.2016.3.1.091
  12. Kwon, Y.D., Kwon, H.W., Kim, W. and Yeo, S.D. (2008), "Structural damage detection in continuum structures using successive zooming genetic algorithm", Struct. Eng. Mech., Int. J., 30(2), 135-146. https://doi.org/10.12989/sem.2008.30.2.135
  13. Li, H.N., Yi, T.H., Ren, L., Li, D.S. and Huo, L.S. (2014), "Review on innovations and applications in structural health monitoring for infrastructures", Struct. Monit. Maint., Int. J., 1(1), 1-45. https://doi.org/10.12989/smm.2014.1.1.001
  14. Li, H.N., Li, D.S., Ren, L., Yi, T.H., Jia, Z.G. and Li, K.P. (2016), "Structural health monitoring of innovative civil engineering structures in Mainland China", Struct. Monit. Maint., Int. J., 3(1), 1-32. https://doi.org/10.12989/smm.2016.3.1.001
  15. Mallat, S. (2008), A Wavelet Tour of Signal Processing: The Sparse Way, Academic, Burlington, Mass, p. 832.
  16. Moslehy, Y., Gu, H., Belarbi, A., Mo, Y.L. and Song, G. (2010), "Smart aggregate-based damage detection of circular RC columns under cyclic combined loading", In: Structures Congress 2010: Proceedings of the 19th Analysis and Computation Specialty Conference, pp. 140-158.
  17. Nagarajaiah, S. and Erazo, K. (2016), "Structural monitoring and identification of civil infrastructure in the United States", Struct. Monit. Maint., Int. J., 3(1), 51-69. https://doi.org/10.12989/smm.2016.3.1.051
  18. Newland, D.E. (1994), "Wavelet analysis of vibration: part 2-wavelet maps".
  19. Rezaifar, O. and Younesi, A. (2016), "Finite element study the seismic behavior of connection to replace the continuity plates in (NFT/CFT) steel columns", Steel Compos. Struct., Int. J., 21(1), 73-91. https://doi.org/10.12989/scs.2016.21.1.073
  20. Rezaifar, O. and Younesi, A. (2017), "Experimental study discussion of the seismic behavior on new types of internal/external stiffeners in rigid beam-to-CFST/HSS column connections", Constr. Build. Mater., 136, 574-589. https://doi.org/10.1016/j.conbuildmat.2017.01.032
  21. Rezaeifar, O., Younesi, A. and Gholhaki, M. (2016), "Seismic Retrofit of a Historical Building in Tehran University Museum Using FRP Technology and Steel Jacketing", J. Rehabilit. Civil Eng., 4(1), 41-54.
  22. Schumaker, L.L. and Webb, G. (Eds.) (1994), Recent advances in wavelet analysis, Academic Press, 3.
  23. Shao, R., Hu, W., Wang, Y. and Qi, X. (2014), "The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform", Measurement, 54, 118-132. https://doi.org/10.1016/j.measurement.2014.04.016
  24. Sohn, H. and Law, K.H. (1997), "A Bayesian probabilistic approach for structure damage detection", Earthq. Eng. Struct. Dyn., 26(12), 1259-1281. https://doi.org/10.1002/(SICI)1096-9845(199712)26:12<1259::AID-EQE709>3.0.CO;2-3
  25. Sohn, H. and Law, K.H. (2000), "Bayesian probabilistic damage detection of a reinforced-concrete bridge column", Earthq. Eng. Struct. Dyn., 29(8), 1131-1152. https://doi.org/10.1002/1096-9845(200008)29:8<1131::AID-EQE959>3.0.CO;2-J
  26. Stubbs, N. and Osegueda, R. (1990), "Global damage detection in solids- Experimental verification", Int. J. Anal. Experim. Modal Anal., 5, 81-97.
  27. Wang, Q. and Deng, X. (1999), "Damage detection with spatial wavelets", Int. J. Solids Struct., 36(23), 3443-3468. https://doi.org/10.1016/S0020-7683(98)00152-8
  28. Wang, W.J. and McFadden, P.D. (1996), "Application of wavelets to gearbox vibration signals for fault detection", J. Sound Vib., 192(5), 927-939. https://doi.org/10.1006/jsvi.1996.0226
  29. Wang, Z., Bian, S., Lei, M., Zhao, C., Liu, Y. and Zhao, Z. (2014), "Feature extraction and classification of load dynamic characteristics based on lifting wavelet packet transform in power system load modeling", Int. J. Elect. Power Energy Syst., 62, 353-363. https://doi.org/10.1016/j.ijepes.2014.04.051
  30. Wu, J.R. and Li, Q.S. (2006), "Structural parameter identification and damage detection for a steel structure using a two-stage finite element model updating method", J. Constr. Steel Res., 62(3), 231-239. https://doi.org/10.1016/j.jcsr.2005.07.003
  31. Xiang, J., Jiang, Z., Wang, Y. and Chen, X. (2011), "Study on damage detection software of beam-like structures", Struct. Eng. Mech., Int. J., 39(1), 77-91. https://doi.org/10.12989/sem.2011.39.1.077
  32. Xiang, P., Deng, Z.H., Su, Y.S., Wang, H.P. and Wan, Y.F. (2017), "Experimental investigation on joints between steel-reinforced concrete T-shaped column and reinforced concrete beam under bidirectional low-cyclic reversed loading", Adv. Struct. Eng., 20(3), 446-460. https://doi.org/10.1177/1369433216653841
  33. Xu, B. and Gong, X. (2010), "Damage Detection of Reinforced Concrete Columns Based on Vibration Tests. In Earth and Space 2010: Engineering, Science", Proceedings of the 12th Biennial International Conference on Engineering, Construction, and Operations in Challenging Environments, pp. 2321-2329. https://doi.org/10.1061/41096(366)214
  34. Xu, B., Li, B. and Song, G. (2013), "Active debonding detection for large rectangular CFSTs based on wavelet packet energy spectrum with piezoceramics", J. Struct. Eng., 139(9), 1435-1443. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000632
  35. Xu, B., Shu, Z. and Dyke, S. (2015a), "Embedded Interface Debonding Detection for an Irregular Complex Multi-chamber Steel Reinforced Concrete Column with PZT Impedance", Struct. Health Monitor.
  36. Xu, H.J., Ding, Z.H., Lu, Z.R. and Liu, J.K. (2015b), "Structural damage detection based on Chaotic Artificial Bee Colony algorithm", Struct. Eng. Mech., Int. J., 55(6), 1223-1239. https://doi.org/10.12989/sem.2015.55.6.1223
  37. Yazdanpanah, O. and Seyedpoor, S.M. (2015), "A new damage detection indicator for beams based on mode shape data", Struct. Eng. Mech., Int. J., 53(4), 725-744. https://doi.org/10.12989/sem.2015.53.4.725
  38. Younesi, A., Rezaifar, O., Gholhaki, M. and Esfandiari, A. (2019), "Structural health monitoring of a concrete-filled tube column", Magaz. Civil Eng., 85(1).
  39. Younesi, A., Rezaeifar, O., Gholhaki, M. and Esfandiari, A. (2020), "Damage Detection in Concret Filled Tube Column Based on Exper-imentally Modal Data and Wavelet Technique", Mech. Adv. Compos. Struct. [In Press]
  40. Zhao, H.W., Ding, Y.L., Nagarajaiah, S. and Li, A.Q. (2019), "Behavior analysis and early warning of girder deflections of a steel-truss arch railway bridge under the effects of temperature and trains: case study", J. Bridge Eng., 24(1), 05018013. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001327
  41. Zhao, H., Ding, Y., Li, A., Ren, Z. and Yang, K. (2020a), "Live-load strain evaluation of the prestressed concrete box-girder bridge using deep learning and clustering", Struct. Health Monitor., 19(4), 1051-1063. https://doi.org/10.1177/1475921719875630
  42. Zhao, H., Ding, Y., Li, A., Sheng, W. and Geng, F. (2020b), "Digital modeling on the nonlinear mapping between multi-source monitoring data of in-service bridges", Struct. Control Health Monitor., e2618. https://doi.org/10.1002/stc.2618